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Record W2007059827 · doi:10.2118/04-09-tn1

TORR ™-The Next Generation of Hydrocarbon Extraction From Water

2004· article· en· W2007059827 on OpenAlexaffabout
M.J. Plebon

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2004
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsFuture Earth
Fundersnot available
KeywordsEnvironmental scienceEnvironmental remediationWaste managementPetroleumProduced waterPetroleum industryGreaseWastewaterPetroleum engineeringHydrocarbonEnvironmental engineeringEngineeringChemistryContamination

Abstract

fetched live from OpenAlex

Abstract EARTH (Canada) Corporation is commercializing a revolutionary development in oil/water separation at the Global Petroleum Show. TORR- (Total Oil Remediation and Recovery) removes free-floating and emulsified oils in water without the need for heat or chemicals. No waste is created from this technology. Treated water can reach non-detectable hydrocarbon limits and the recovered oil is of low water content. The introduction of TORR- is a significant breakthrough for water treatment solutions for SAGD, conventional oil and gas production water, environmental remediation, and any other applications where oily water is a concern. Introduction Oil and grease are present at numerous commercial, industrial and government sites. The presence of oil poses a severe challenge for oily water remediation technologies. Oil and grease must generally be removed from wastewater since those materials can foul instruments and equipment, interfere with other processes, and may accumulate in unwanted areas causing a hazard or performance problem. Furthermore, oil and grease are very damaging to the environment and could cause a significant environmental issue. In upstream oil and gas production, oily production water increases as the asset ages to a level where the asset may no longer be economical to operate. The management and treatment of the increasing produced water will play a significant role in the overall economics of the facility. Basic Separation Theory The removal of oil and grease from produced waters can be accomplished by the use of several well-known and widely accepted techniques. However, the performance of any given separation technique will depend entirely on the condition of the oil-water mixture. Present techniques for the separation of oil from water are based on their difference of density. Stoke's Law states that rising velocity (Vr) is a function of the square of the oil droplets' diameter: Vr = gd2 (ρw - ρo)/18 η where Vr = rise velocity of oil droplet g = acceleration due to gravity ρw = density of water ρo = density of oil d = oil particle diameter η= viscosity of water From Stoke's Law, it can be seen that droplet size has the largest impact on the rising velocity rate. Consequently, the bigger the droplet size, the less time it takes for the droplet to rise to a collection surface, and thus the easier it is to treat the water. The oil in the produced water can be present as free-oil and/or emulsified and/or dissolved states in different proportions. This oil droplet size distribution is one of the most important factors affecting the design of oil-water separators. Free-oil is defined as an oil droplet of 150 microns, which will float immediately to the surface due to its large size and high rise velocity. Emulsion is oil which is dispersed in the water in a stable fashion due to its small diameter and having a low rise velocity. Emulsions can be classified into two categories: mechanical and chemical emulsions. Mechanical emulsions are created through the process of pumping large pressure drops through chokes and control valves.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.186
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2004
Admission routes2
Has abstractyes

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